Senior Analytics Engineer, DataOne
Pune
Full Time Senior-level / Expert INR 3700K - 4600K
HackerOne
Reduce the risk of a security incident by working with the world’s largest community of trusted ethical hackers. HackerOne offers bug bounty, VDP, security assessments, attack surface management, and pentest solutions.HackerOne is a global leader in offensive security solutions. Our HackerOne Platform combines AI with the ingenuity of the largest community of security researchers to find and fix security, privacy, and AI vulnerabilities across the software development lifecycle. The platform offers bug bounty, vulnerability disclosure, pentesting, AI red teaming, and code security. We are trusted by industry leaders like Amazon, Anthropic, Crypto.com, General Motors, GitHub, Goldman Sachs, Uber, and the U.S. Department of Defense. HackerOne was named a Best Workplace for Innovators by Fast Company in 2023 and a Most Loved Workplace for Young Professionals in 2024.
HackerOne Values
HackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability.
Senior Analytics Engineer, DataOne
Location: Pune, India
*** This role requires the candidate to be based in Pune and work from an office 4 or 5 days a week. This role may also require evening-shift work to overlap with USA timezones. Please only apply if you're okay with both of these requirements. ***
Position Summary
HackerOne is seeking a Senior Analytics Engineer to join our DataOne team. You will lead the discovery, architecture, and development of high-impact, high-performance, scalable source of truth data marts and data products. Joining our growing, distributed organization, you'll be instrumental in building the foundation that powers HackerOne's one source of truth.
As a Senior Analytics Engineer, you'll be able to lead challenging projects and foster collaboration across the company. Leveraging your extensive technological expertise, domain knowledge, and dedication to business objectives, you'll drive innovation to propel HackerOne forward.
DataOne democratizes source-of-truth information and insights to enable all Hackeronies to ask the right questions, tell cohesive stories, and make rigorous decisions so that HackerOne can delight our Customers and empower the world to build a safer internet.
The future is one where every Hackeronie is a catalyst for positive change, driving data-informed innovation while fostering our culture of transparency, collaboration, integrity, excellence, and respect for all.
What You Will Do
Your first 30 days will focus on getting to know HackerOne. You will join your new squad and begin onboarding - learn our technology stack (Python, Airflow, Snowflake, DBT, Meltano, Fivetran, Looker, AWS), and meet our Hackeronies.
Within 60 days, you will deliver impact on a company level with consistent contribution to high-impact, high-performance, scalable source of truth data marts and data products.
Within 90 days, you will drive the continuous evolution and innovation of data at HackerOne, identifying and leading new initiatives. Additionally, you foster cross-departmental collaboration to enhance these efforts.
Deliver impact by developing the roadmap for continuously and iteratively launching high-impact, high-performance, scalable source of truth data marts and data products, and by leading and delivering cross-functional product and technical initiatives.
Be a technical paragon and cross-functional force multiplier, autonomously determining where to apply focus, contributing at all levels, elevating your squad, and designing solutions to ambiguous business challenges, in a fast-paced early-stage environment.
Drive continuous evolution and innovation, the adoption of emerging technologies, and the implementation of industry best practices.
Champion a higher bar for discoverability, usability, reliability, timeliness, consistency, validity, uniqueness, simplicity, completeness, integrity, security, and compliance of information and insights across the company.
Provide technical leadership and mentorship, fostering a culture of continuous learning and growth.
Minimum Qualifications
8+ years experience as an Analytics Engineer, Business Intelligence Engineer, Data Engineer, or similar role w/ proven track record of launching source of truth data marts.
8+ years of experience building and optimizing data pipelines, products, and solutions.
Must be flexible to align with some cross over in USA timezone.
Extensive experience working with various data technologies and tools such as Airflow, Snowflake, Meltano, Fivetran, DBT, and AWS.
Expert in SQL for data manipulation in a fast-paced work environment.
Expert in creating compelling data stories using data visualization tools such as Looker, Tableau, Sigma, Domo, or PowerBI.
Proven track record of having substantial impact across the company, as well as externally for the company, demonstrating your ability to drive positive change and achieve significant results.
Excellent communication skills, and can present data-driven narratives in verbal, presentation, and written formats.
Passion for working backwards from the Customer and empathy for business stakeholders.
Experience shaping the strategic vision for data.
Experience working with Agile and iterative development processes.
Preferred Qualifications
Strong proficiency in at least one data programming language such as Python or R.
Experience working within and with data from business applications such as Salesforce, Clari, Gainsight, Workday, GitLab, Slack, or Freshservice.
Proven track record of driving innovation, adopting emerging technologies and implementing industry best practices.
Thrive on solving for ambiguous problem statements in an early-stage environment.
Experience designing advanced data visualizations and data-rich interfaces in Figma or equivalent.
Compensation Bands:
Pune, India
₹3.7M – ₹4.6M • Offers Equity
#LI-HM1
Job Benefits:
Health (medical, vision, dental), life, and disability insurance*
Equity stock options
Retirement plans
Paid public holidays and unlimited PTO
Paid maternity and parental leave
Leaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act)
Employee Assistance Program
Flexible Work Stipend
*Eligibility may differ by country
We're committed to building a global team! For certain roles outside the United States, U.K., and the Netherlands, we partner with Remote.com as our Employer of Record (EOR).
Visa/work permit sponsorship is not available.
Employment at HackerOne is contingent on a background check.
HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws.
This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time.
For US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.
Tags: Agile Airflow Anthropic Architecture AWS Business Intelligence Crypto Data pipelines Data visualization dbt FiveTran GitHub GitLab Looker Pipelines Power BI Privacy Python R Salesforce Security Snowflake SQL Tableau
Perks/benefits: Career development Equity / stock options Flex hours Flex vacation Health care Home office stipend Insurance Medical leave Parental leave Startup environment Transparency Unlimited paid time off
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